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Evolving Verifiable Causal Mechanisms through Governometrics to Study Critical Policy Issues
Abstract
This chapter addresses the elemental aspect of statistical application, which is of paramount importance in evolving testable causal mechanisms to study the critical policy issues. The Governometrics that help us in unfolding the complexities of policy making and governance can be applied both at the primitive and advanced levels of application of quantitative and qualitative methods. This chapter only touches the primitive level application. It is a normative analysis to help the policy analysts in understanding issues that can have cascading impact in society due to failure in identifying right policy priorities. Three techniques, QCA, PCA, and SPSS (IBM), include many other techniques that can be tested statistically to resolve the difficult policy conundrums. These techniques have relevance to the governmental arena as important tools for policy research. The discussion is built up on the basis of need to study any administrative and policy issue by identifying the provable causal relationships. Both the qualitative and quantitative methods have inherent significance; hence, the scientific analysis to understand the basics of policy dynamics is of profound value.
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